4.7 Article

An economy and reliability co-optimization planning method of adiabatic compressed air energy storage for urban integrated energy system

Journal

JOURNAL OF ENERGY STORAGE
Volume 40, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.est.2021.102691

Keywords

Urban integrated energy system (UIES); Adiabatic compressed air energy storage (A-CAES); Optimal planning; Economic analysis; Reliability assessment

Categories

Funding

  1. National Natural Science Foundation of China [51777088]

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The increasing demands for energy supply reliability in urban integrated energy systems pose challenges to traditional energy storage planning methods. Implementing adiabatic compressed air energy storage (A-CAES) can effectively improve the economy and reliability of the system. Achieving comprehensive optimization of economy and reliability is a key focus of current research in this area.
The improving energy supply reliability requirements pose significant challenges to the energy storage planning in the urban integrated energy system (UIES). Traditional energy storage planning methods usually only take the economy optimization as the objective. These methods have difficulty meeting the requirement of reliability. The co-optimization of economy and reliability has been regarded as a new target. However, this new target is difficult to be achieved because of the complexity of energy storage resources in UIES and the nonlinearity of mathematical formulation to express the reliability. Therefore, how to achieve the maximum comprehensive improvement of economy and reliability within the limited scope of planning resources is a key issue that needs to be resolved. Adiabatic compressed air energy storage (A-CAES) has the capability of combined cooling, heating and power supply. The incorporation of A-CAES in UIES can improve the system economy and reliability effectively. To this end, a reasonable bi-level optimal planning method for A-CAES combined with heat/cold energy storage is proposed considering the economy and reliability co-optimization. Firstly, the mathematical formulations of economy and reliability objectives are presented separately. To unify the two planning objects, the reliability object is transformed from the minimum outage capacity into the minimum outage penalty cost, which is regarded as the reliability cost. The reliability cost and economy cost are integrated as the objective function of the planning level. Then, based on the rated power and capacity of A-CAES obtained from the planning level, the optimal scheduling model of UIES is established for evaluating the annual system operation cost and reliability cost. Finally, a UIES containing an A-CAES is used for simulation analysis. The simulation results show that the proposed model can achieve the comprehensive optimization of economy and reliability.

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